Abstract
Meeting the challenge of sustainable development requires substantial advances in understanding the interaction of natural and human systems. The dynamics of regional sustainable development could be addressed in the context of complex system thinking. Three features of complex systems are that they are uncertain, non-linear and self-organizing. Modeling regional development requires a consideration of these features. This paper discusses the feasibility of using the artificial neural networt(ANN) to establish an adjustment prediction model for the complex systems of sustainable development (CSSD). Shanghai Municipality was selected as the research area to set up the model, from which reliable prediction data were produced in order to help regional development planning. A new approach, which could help to manage regional sustainable development, is then explored.
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Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 40131020), and British Council’s Academic Links with China Scheme (SHA/992/304)
Biography: SHI Chun(1971 -), female, a native of Jiangsu Province, Ph. D., associated professor, specialized in environmental management and physical geography. E-mail: cshi@geo.ecnu.edu.cn
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Shi, C., James, P. & Guo, Zy. Application of artificial neural network in complex systems of regional sustainable development. Chin. Geograph.Sc. 14, 1–8 (2004). https://doi.org/10.1007/s11769-004-0001-7
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DOI: https://doi.org/10.1007/s11769-004-0001-7